Jie Ren

Mobile-computing Researcher

Shaanxi Normal University

Jie Ren

I am an associate professor at the School of Computer Science at the Shaanxi Normal University. I am also a member of the New Network Intelligent Information Service of National and Local Joint Engineering Research Center at Northwest University (2017年获ACM西安优秀博士论文奖，2022年入选陕西高校青年杰出人才支持计划，2023年获ACM西安新星奖, 2024年入选陕西省青年科技新星).

My primary research focus involves leveraging machine learning techniques to unlock the capabilities of mobile computing. Specifically, I aim to improve the runtime energy efficiency of diverse mobile intelligent applications, including but not limited to mobile super-resolution, mobile web, mobile augmented reality (AR), and mobile natural language processing (NLP).

现招收2024届硕士研究生2名，有兴趣的同学请发送个人简历及本科成绩单到邮箱（renjie@snnu.edu.cn）。实验室配置独立高性能服务器(RTX 3090, A5000等)，移动开发板NVIDIA Jetson AGX ORIN, TX2, Nano等，凡研究所需设备都尽力支持。如果你进步飞速，有极大的潜力，可推荐国内外TOP Univiersity Ph.D。希望你喜欢计算机专业, 对编程实践感兴趣, self-motivated student。研究方向见上述及之前发表的文章，主要研究方向为移动系统的“性能-功耗”优化(Android及Harmony OS)，On-device deep learning，移动增强现实(AR)及自然语言处理。通过机器学习方法挖掘数据关联性，并提供解决方案。希望我可以为你的学习和成长提供充分的帮助，一起探索计算机中有趣的内容（聚餐、爬山及去外地参加学术会议），同时希望你充分的努力，不负韶华，相信我们会有一个充实愉快的学习过程.

News

[Jun, 2024] Our paper Optimizing Stencil Computation on Multi-core DSPs is accepted by ICPP‘2024
[Sep, 2023] Our work for optimizing JS on mobile is accepted by IEEE Transaction on Mobile Computing ‘2023
[Jun, 2023] Our paper Identifying underlying influential factors in information diffusion process on social media platform: A hybrid approach of data mining and time series regression is accepted by Information Processing and Management ‘2023
[Jun, 2023] Our paper Covert Federated Learning via Intelligent Reflecting Surfaces is accepted by IEEE Transactions on Communications ‘2023
[Oct, 2022] Our paper for optimizing video super-resolution is accepted by HPCC ‘2022
[Aug, 2022] Our paper DSSDPP: Data Selection and Sampling based Domain Programming Predictor for Cross-project Defect Prediction is accepted by Transactions on Software Engineering ‘2022
[Feb, 2022] Our work for exploring the impact of negative samples of contrastive learning is accepted by ACL Findings ‘2022

Research Team

Graduate Students

Ruiyu Yan, 9/ 2022 -, co-supervise with Prof. Ling Gao;
Xiaoao Zhu, 9 / 2023 - ;
Rongqing Liu, 9 / 2022 - (Now intern at 招商银行信息部);
Weihang Chen, 9 / 2022 - ;

Alumni

Chenge Jia, 09 / 2021 - 06 / 2024 (Graduate student) -first job: 中国东方航空股份有限公司信息部, Xi'an
Yuhua Wang, 09 / 2021 - 06 / 2024 (Graduate student) -first job: 电信科学技术第十研究所, Xi'an
Bingquan Yu, 09 / 2021 - 06 / 2023 (Graduate student, from the Northwest University) -first job: 华为
Guanhua Yang, 09 / 2020 - 06 / 2023 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) -first job: ABC,Shaanxi
Bing Zhou, 09 / 2020 - 06 / 2023 (Graduate student, the Northwest University) -first job: HONOR, Xi'an
Yihao Wang, 09 / 2019 - 05 / 2022 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - Now Ph.D candidate in Sun Yat-sen University, China
Le Chen 09 / 2018 - 07 / 2021 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: ICBC (ShaanXi)
Xing Dao 09 / 2018 - 07 / 2021 (Graduate student, co-supervise with Hai Wang from the Northwest University) - first job: Zhongxing Telecom Equipment (Xian)
Zhewen Zhang 09 / 2014 - 07 / 2017 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: Bank of China Software Center (Xian)
Yanchao Guo 09 / 2015 - 07 / 2018 (Graduate student, co-supervise with Hai Wang from the Northwest University) - first job: Jing Dong
Qing Qin 09 / 2016 - 07 / 2019 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: China Aerospace Science and Technology Corporation
Jialong Yu 09 / 2016 - 07 / 2019 (Graduate student, co-supervise with Prof. Ling Gao from the Northwest University) - first job: China Unionpay

Recent Publications

Google Scholar

[TMC'23] JavaScript Performance Tuning as a Crowdsourced Service
Jie Ren, Ling Gao, Zheng Wang
IEEE Transactions on Mobile Computing (IEEE TMC) , 2023.

[TCOM'23] Covert Federated Learning via Intelligent Reflecting Surfaces
Jie Zheng, Haijun Zhang, Jiawen Kang, Ling Gao, Jie Ren, Dusit Niyato
IEEE Transactions on Communications (IEEE TCOM) , 2023.

[HPCC'22] Adaptive Model Selection for Video Super Resolution
Chenge Jia, Jie Ren*, Ling Gao, Zhiqiang Li, Jie Zheng, Zheng Wang
High Performance Computing and Communications (HPCC) , 2022.

[TSE'22] DSSDPP: Data Selection and Sampling based Domain Programming Predictor for Cross-project Defect Prediction
Zhiqiang Li, Hongyu Zhang, Xiao-Yuan Jing, Juanying Xie, Min Guo, Jie Ren
IEEE Transactions on Software Engineering (IEEE TSE) , 2022.

[ACL'22] Exploring the Impact of Negative Samples of Contrastive Learning: A Case Study of Sentence Embedding
Rui Cao, Yihao Wang, Yuxin Liang, Ling Gao, Jie Zheng, Jie Ren, Zheng Wang
Findings of Association for Computational Linguistics(Findings of ACL) , 2022.

[Ubicomp'22] Adaptive Computation Offloading for Mobile Augmented Reality
Jie Ren, Ling Gao*, Xiaoming Wang, Miao Ma, Guoyong Qiu, Hai Wang, Jie Zheng, Zheng Wang*
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (Ubicomp) , 2022.

[ICPADS'21] ATO-EDGE: Adaptive task offloading for deep learning in resource constrained edge computing systems
Yihao Wang, Ling Gao*, Jie Ren*, Rui Cao, Hai Wang, Jie Zheng, Quanli Gao
27th IEEE International Conference on Parallel and Distributed Systems (ICPADS) , 2021.

[ICANN '21] Learning to Remove: Towards Isotropic Pre-trained BERT Embedding
Yuxing Liang, Rui Cao, Jie Zheng, Jie Ren, Ling Gao
30th International Conference on Artificial Neural Networks (ICANN) , 2021.

Preprint

[Computer Networks] Towards practical 3D ultrasound sensing on commercial-off-the-shelf mobile
Shuangjiao Zhai, Guixin Ye, Zhanyong Tang, Jie Ren, Dingyi Fang, Baoying Liu, Zheng Wang
Computer Networks , 2021.

Preprint

[INFOCOM '20] Camel: Smart, Adaptive Energy Optimization for Mobile Web Interactions
Jie Ren,Lu Yuan, Petteri Nurmi, Xiaoming Wang, Miao Ma, Ling Gao, Zhanyong Tang, Jie Zheng, Zheng Wang
IEEE International Conference on Computer Communications (INFOCOM) , 2020.

Preprint

[CoNEXT '18] Proteus: Network-aware Web Browsing on Heterogeneous Mobile Systems
Jie Ren, Xiaoming Wang, Jianbin Fang, Yansong Feng, Dongxiao Zhu, Zhunchen Luo, Zheng Wang
International Conference on emerging Networking EXperiments and Technologies (Conext) , 2018.

Preprint

Projects

基于“云-端”融合编译的大规模移动应用能效优化研究

国家自然科学基金面上项目, PI, 2024 - 2027

基于华为鸿蒙操作系统交互式移动应用的自适应编译优化研究

陕西省重点研发计划-一般项目, PI, 2023 - 2024

Energy-efficient resource scheduling for Mobile Web-based Applications: A Quality of Experience Based Approach

国家自然科学基金青年项目, PI, 2020 - 2022

Optimize web browsing performance based on Maching learning approach.

Natural Science Basic Research Program of Shaanxi Province, PI, 2019 - 2021

Energy and Performance Optimisation for Mobile Systems

Fundamental Research Funds for the Central Universities, PI, 2018 - 2019

Collective Optimisation for Mobile Computing

Shaanxi Normal University Early Career Grant, PI, 2017 -

Teaching

Teaching @ Shaanxi Normal University

Linux basic course, 2021-2022
Scientific Paper Writing, 2021-2022
Development of Android Application, 2017-2018, 2019-2020
Data Structure, 2017-2018, 2019-2020
Information, Organization and Management, 2017-2018

Services

Professional Services

Program Committee Member:ICAC 2024 , IJCAI 2024, 2023, 2022, 2021 , DSCI 2021 , SocialCom 2020 , CBD 2021
Committee Member: CCF Network and Data Communications
Session Chair:CBD 2023, HPCC 2022, UIC 2018
TPC Committee Member: IoTEC 2018
Volunteer Committee Member: ACM TURC 2017

Biography

March, 2019 - March, 2020, Academic visiting in Lancaster Universiy and University of Leeds, supported by CSC. Academic advisor: Professor Zheng Wang.
July, 2017 -, Lecturer, School of Computer Sciences, Shaanxi Normal University.
2014 - 2017, PhD Student, the Northwest University. Academic advisor: Professor Ling Gao.
September, 2015 - March, 2016, Visiting PhD Student, Lancaster University. Aademic advisor: Professor Zheng Wang.
2013, System Test Engineer, IBM Xi’an CSTL

Contact

{name} [at] {snnu.edu.cn}
School of Computer Science, Shaanxi Normal University, Xi'an, China
Please email me for an appointment